melt.updn <- structure(list(date = structure(c(11808, 11869, 11961, 11992,
12084, 12173, 12265, 12418, 12600, 12631, 12753, 12996, 13057,
13149, 11808, 11869, 11961, 11992, 12084, 12173, 12265, 12418,
12600, 12631, 12753, 12996, 13057, 13149), class = "Date"), variable =
structure(c(1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L), .Label = c("unrestored",
"restored"), class = "factor"), value = c(1.34057641541824, 0.918021774919366,
0.905654270934854, 0.305945104043220, 0.58298856330543, 1.36580645291274,
0.874195629894938, 0.87482377014642, 0.930267689669002, 0.41753134369356,
1.09248531450337, 1.72571397293738, 0.305751868168171, 0.584498524462223,
0.983300317501076, 1.27216569968585, 0.730578393573363, 0.88361473836175,
1.16501295544266, 2.08896500025784, 0.664286881841064, 1.03859387871079,
1.39172581649833, 0.323405269371357, 1.00207568577518, 1.54383416626015,
0.611261918697393, 0.848992483196744)), .Names = c("date", "variable",
"value"), row.names = c(NA, -28L), class = "data.frame")
aov(value~variable, data=melt.updn)
I am having problems making sure that I am doing the correct analysis.
I am trying to see if there is a difference in the mean of the
restored segment versus the unrestored segment (variable in x). These
are repeated measures on the same treatments through time. Is there a
way to control for the differences in time steps? Any ideas?
thanks for the help,
--
Stephen Sefick
Let's not spend our time and resources thinking about things that are
so little or so large that all they really do for us is puff us up and
make us feel like gods. We are mammals, and have not exhausted the
annoying little problems of being mammals.
-K. Mullis
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